Microservices and the Myth of Fault Isolation
Microservices do not automatically deliver fault isolation by design. They replace one obvious forest fire with a sprawling network of subtle, cascading brush fires.
The Software With Podcast: Find the Root Cause in Seconds
Severin shares insights into his career path, including his involvement with AppDynamics and Cisco, and his current role at Causely, where he focuses on OpenTelemetry and causal reasoning for root cause analysis.
AI SREs: Separating hype from reality
This article has been reposted with permission from CIO Dive.
Causely Feature Demo: Address External API Slowdowns
When a provider slows down, Causely shows exactly how the impact ripples across your services and identifies the external API as the root cause.
How Causal Reasoning Addresses the Limitations of LLMs in Observability
Causal reasoning with AI agents enable proactive incident prevention, automated remediation, and a path toward autonomous service reliability.
OpenTelemetry Logging Best Practices to Avoid Drowning in Data
We’ll recap OTel logging best practices, explore how to use logs effectively in troubleshooting without drowning in data, walk through a tutorial workflow you can apply today, and show how Causely operationalizes this approach automatically at scale.
Why Standalone Docker Matters: 4 Patterns Every Scalable Architecture Should Consider
This post explores four architecture patterns where standalone Docker is not only justified but recommended.
Causely Feature Demo: Solve the Root Cause of Message Queue Lag
Watch the video to see how Causely turns “Lag High” chaos into confident, informed action in seconds.
Demystifying Automatic Instrumentation: How the Magic Actually Works
Most developers use automatic instrumentation without knowing how it actually works. This post breaks down the key techniques behind it—not to build your own, but to understand what’s really happening when things "just work."
Causely Feature Demo: Pinpointing the Code Change Causing Performance Issues
In this short video, we show how Causely pinpoints the exact code change that triggered cascading performance issues — without requiring you to sift through logs or build custom dashboards.
The Signal in the Storm: Why Chasing More Data Misses the Point
More telemetry doesn’t guarantee more understanding. In many cases, it gives you the illusion of control while silently eroding your ability to reason about the system.
When Everything Is Instrumented, and You Still Don’t Know What’s Broken
In 'Rethinking Reliability for Distributed Systems,' Endre Sara shared a common story: a large-scale customer, running mature microservices in Kubernetes with full observability coverage, still struggles to understand what’s broken during a high-stakes business event.